New feature added

[pilathraj]

Summary by CodeRabbit

• New Features
  • Introduced new container-based configurations for both production and staging environments, ensuring a streamlined and consistent web service deployment.

[coderabbitai]

Walkthrough

This pull request introduces two new Docker Compose configuration files, one for production and one for staging. Both files use version "3.9" of the Docker Compose format and define a single service named web. The service utilizes the trainwithshubham/node-app:latest image and maps host port 8000 to container port 8000.

Changes

File(s)	Change Summary
docker-compose.prod.yaml, docker-compose.stage.yaml	Added new Docker Compose configurations specifying version "3.9", with a web service using trainwithshubham/node-app:latest and port mapping.

Poem

I'm a happy rabbit with a curious tune,
Hopping through code beneath the spring moon,
Two YAML files in my burrow to deploy,
Web service hops in with a burst of joy,
Port 8000 rings; oh what a delightful noon! 🐇

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[coderabbitai]

Actionable comments posted: 1

📜 Review details

Configuration used: CodeRabbit UI
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 34e70d4 and 806e91c.

📒 Files selected for processing (2)

• docker-compose.prod.yaml (1 hunks)
• docker-compose.stage.yaml (1 hunks)

🔇 Additional comments (1)

docker-compose.prod.yaml (1)

1-7: Consistent Production Configuration.
This production configuration exactly mirrors the staging file, ensuring consistency between environments. This simplicity is ideal if both environments use the same settings.

If production-specific settings become necessary (e.g., different environment variables, resource limits, or security options), consider extending this file appropriately.

[coderabbitai]

🧹 Nitpick (assertive)

Clear and Correct Staging Configuration.
The configuration correctly uses version 3.9 and clearly defines the web service with the specified image and port mapping. The formatting and YAML structure are correct.

Optionally, consider adding environment variables, restart policies, or volumes in the future if additional configuration is needed for staging.